The client is among the largest debt management firms in U.S. Their core mission is to empower customers by providing effective solutions for managing their debt burdens. They aim to offer comprehensive debt management services that cater to the diverse financial needs of individuals across these regions. Through their extensive market presence and commitment to innovation, they continually strive to enhance customer outcomes and financial well-being, leveraging advanced technologies and strategic partnerships to achieve sustainable debt management solutions.
The client faced significant challenges stemming from disparate data sources, resulting in inconsistent data across business units, reporting teams, and data science departments. Manual report generation and time-consuming accuracy validations were prevalent issues. Their on-premises applications struggled with the volume and complexity of data, leading to prolonged query times and frequent errors, which delayed model and report deployment timelines by several years. Additionally, integrating new data sources and systems post-acquisitions further complicated their data landscape.